Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs
نویسندگان
چکیده
منابع مشابه
Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs
OBJECTIVE We introduce a structural-lexical approach for auditing SNOMED CT using a combination of non-lattice subgraphs of the underlying hierarchical relations and enriched lexical attributes of fully specified concept names. Our goal is to develop a scalable and effective approach that automatically identifies missing hierarchical IS-A relations. METHODS Our approach involves 3 stages. In ...
متن کاملMining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT
Objective Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT. Material and Methods All non-lattice subgraphs (the structural part) in SNOMED CT are exhaustively extracte...
متن کاملLarge-Scale, Exhaustive Lattice-Based Structural Auditing of SNOMED CT
One criterion for the well-formedness of ontologies is that their hierarchical structure forms a lattice. Formal Concept Analysis (FCA) has been used as a technique for assessing the quality of ontologies, but is not scalable to large ontologies such as SNOMED CT (> 300k concepts). We developed a methodology called Lattice-based Structural Auditing (LaSA), for auditing biomedical ontologies, im...
متن کاملIdentifying Potentially Missing Hierarchical Relations in SNOMED CT based on Lexical Features - Impact of Synonyms and Lexico-syntactic Constraints
Introduction The quality assurance of large bio-ontologies is extremely critical for their effective and continued use and is an active area of research1. For example, recent investigations highlighted issues in the hierarchical structure of SNOMED CT and its detrimental effects on biomedical applications2. Previous work by one of the authors3 established a method to identify potentially missin...
متن کاملIdentifying Missing Hierarchical Relations in SNOMED CT from Logical Definitions Based on the Lexical Features of Concept Names
Objectives. To identify missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Methods. We first create logical definitions from the lexical features of concept names, which we represent in OWL EL. We infer hierarchical (subClassOf) relations among these concepts using the ELK reasoner. Finally, we compare the hierarchy obtained from...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2018
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2017.12.010